[英]Using defaultdict to bin values in pandas
I am trying to use the following dictionary (' ContinentDict ') to bin countries by continent .我正在尝试使用以下字典(' ContinentDict ')按大洲分类国家。
Thus, I would like to bin keys by value .因此,我想按值对键进行分类。
ContinentDict = {'China':'Asia',
'United States':'North America',
'Japan':'Asia',
'United Kingdom':'Europe',
'Russian Federation':'Europe',
'Canada':'North America',
'Germany':'Europe',
'India':'Asia',
'France':'Europe',
'South Korea':'Asia',
'Italy':'Europe',
'Spain':'Europe',
'Iran':'Asia',
'Australia':'Australia',
'Brazil':'South America'}
When I try option 1:当我尝试选项 1 时:
v = {}
for key, value in sorted(d.items()):
v.setdefault(value, []).append(key)
I get the error:我得到错误:
Traceback (most recent call last):
File "<input>", line 2, in <module>
TypeError:'dict' object is not callable
When I try option 2:当我尝试选项 2 时:
from collections import defaultdict
dictionary = defaultdict(list)
for key, value in ContinentDict:
dictionary[value].append(key)
I get the error:我得到错误:
Traceback (most recent call last):
File "<input>", line 1, in <module>
TypeError: first argument must be callable or None
Could anybody give me a helping hand?有人可以帮帮我吗?
For option 2, I think you missed .items()
.对于选项 2,我认为您错过了.items()
。 This worked for me:这对我有用:
ContinentDict = {'China':'Asia',
'United States':'North America',
'Japan':'Asia',
'United Kingdom':'Europe',
'Russian Federation':'Europe',
'Canada':'North America',
'Germany':'Europe',
'India':'Asia',
'France':'Europe',
'South Korea':'Asia',
'Italy':'Europe',
'Spain':'Europe',
'Iran':'Asia',
'Australia':'Australia',
'Brazil':'South America'}
dictionary = defaultdict(list)
for key, value in ContinentDict.items():
dictionary[value].append(key)
print(dictionary)
Output: Output:
defaultdict(<class 'list'>, {'Asia': ['China', 'Japan', 'India', 'South Korea', 'Iran'], 'North America': ['United States', 'Canada'], 'Europe': ['United Kingdom', 'Russian Federation', 'Germany', 'France', 'Italy', 'Spain'], 'Australia': ['Australia'], 'South America': ['Brazil']})
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